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Using algorithmic trading to analyze short term profitability of Bitcoin

Cryptocurrencies such as Bitcoin (BTC) have seen a surge in value in the recent past and appeared as a useful investment opportunity for traders. However, their short term profitability using algorithmic trading strategies remains unanswered. In this work, we focus on the short term profitability of...

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Autores principales: Ahmad, Iftikhar, Ahmad, Muhammad Ovais, Alqarni, Mohammed A., Almazroi, Abdulwahab Ali, Khalil, Muhammad Imran Khan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959592/
https://www.ncbi.nlm.nih.gov/pubmed/33816988
http://dx.doi.org/10.7717/peerj-cs.337
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author Ahmad, Iftikhar
Ahmad, Muhammad Ovais
Alqarni, Mohammed A.
Almazroi, Abdulwahab Ali
Khalil, Muhammad Imran Khan
author_facet Ahmad, Iftikhar
Ahmad, Muhammad Ovais
Alqarni, Mohammed A.
Almazroi, Abdulwahab Ali
Khalil, Muhammad Imran Khan
author_sort Ahmad, Iftikhar
collection PubMed
description Cryptocurrencies such as Bitcoin (BTC) have seen a surge in value in the recent past and appeared as a useful investment opportunity for traders. However, their short term profitability using algorithmic trading strategies remains unanswered. In this work, we focus on the short term profitability of BTC against the euro and the yen for an eight-year period using seven trading algorithms over trading periods of length 15 and 30 days. We use the classical buy and hold (BH) as a benchmark strategy. Rather surprisingly, we found that on average, the yen is more profitable than BTC and the euro; however the answer also depends on the choice of algorithm. Reservation price algorithms result in 7.5% and 10% of average returns over 15 and 30 days respectively which is the highest for all the algorithms for the three assets. For BTC, all algorithms outperform the BH strategy. We also analyze the effect of transaction fee on the profitability of algorithms for BTC and observe that for trading period of length 15 no trading strategy is profitable for BTC. For trading period of length 30, only two strategies are profitable.
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spelling pubmed-79595922021-04-02 Using algorithmic trading to analyze short term profitability of Bitcoin Ahmad, Iftikhar Ahmad, Muhammad Ovais Alqarni, Mohammed A. Almazroi, Abdulwahab Ali Khalil, Muhammad Imran Khan PeerJ Comput Sci Algorithms and Analysis of Algorithms Cryptocurrencies such as Bitcoin (BTC) have seen a surge in value in the recent past and appeared as a useful investment opportunity for traders. However, their short term profitability using algorithmic trading strategies remains unanswered. In this work, we focus on the short term profitability of BTC against the euro and the yen for an eight-year period using seven trading algorithms over trading periods of length 15 and 30 days. We use the classical buy and hold (BH) as a benchmark strategy. Rather surprisingly, we found that on average, the yen is more profitable than BTC and the euro; however the answer also depends on the choice of algorithm. Reservation price algorithms result in 7.5% and 10% of average returns over 15 and 30 days respectively which is the highest for all the algorithms for the three assets. For BTC, all algorithms outperform the BH strategy. We also analyze the effect of transaction fee on the profitability of algorithms for BTC and observe that for trading period of length 15 no trading strategy is profitable for BTC. For trading period of length 30, only two strategies are profitable. PeerJ Inc. 2021-02-03 /pmc/articles/PMC7959592/ /pubmed/33816988 http://dx.doi.org/10.7717/peerj-cs.337 Text en ©2021 Ahmad et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Algorithms and Analysis of Algorithms
Ahmad, Iftikhar
Ahmad, Muhammad Ovais
Alqarni, Mohammed A.
Almazroi, Abdulwahab Ali
Khalil, Muhammad Imran Khan
Using algorithmic trading to analyze short term profitability of Bitcoin
title Using algorithmic trading to analyze short term profitability of Bitcoin
title_full Using algorithmic trading to analyze short term profitability of Bitcoin
title_fullStr Using algorithmic trading to analyze short term profitability of Bitcoin
title_full_unstemmed Using algorithmic trading to analyze short term profitability of Bitcoin
title_short Using algorithmic trading to analyze short term profitability of Bitcoin
title_sort using algorithmic trading to analyze short term profitability of bitcoin
topic Algorithms and Analysis of Algorithms
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959592/
https://www.ncbi.nlm.nih.gov/pubmed/33816988
http://dx.doi.org/10.7717/peerj-cs.337
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